C++ Neural Networks and Fuzzy Logic: Preface

hs_adequately with a 0.2 degree of membership, and in flp_very proficient with a 0.9 degree of

membership. We then put him in the fuzzy set for this query. The degree of membership for John Smith is the

smallest value among 0.75, 0.2, and 0.9, since we are taking the intersection of fuzzy sets. So 0.2/John Smith

will be part of the enumeration of the query fuzzy set.

Note that you can use unknown in place of the value of an attribute for an item in the database. If you do not

know John Smith’s age, you can enter unknown in that field of John Smith’s record. You may say his age is

unknown, even though you have a rough idea that he is about 35. You would then be able to assign some

reasonable degrees of membership of John Smith in fuzzy sets like age_young or age_somewhat old.